The offensive detection in Arabic social media is a serious task. This refers to the Arabic language contains violent words represent both violent context and not a violent context besides Arabic is dialects language [1]}. For instance, the word Killing in Arabic meaning represents a violent meaning and not a violent meaning in different contexts appears in [2]} tweets. The overall studies that detected on the offensive language have been applied to the English language. However, the research that regards in the Arabic language in this domain of NLP applications has been restricted according to the lack of the resources that tackle the same issue compared to the English language [3]}, [4]}. The researches that had been conducted in Arabic evaluated on small datasets collected from Twitter API such as mubarak2017abusive has been evaluated their proposed approach on 1100 annotated tweets.
